{"id":"https://openalex.org/W1995462061","doi":null,"title":"Anomaly detection for sea surveillance","display_name":"Anomaly detection for sea surveillance","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W1995462061","mag":"1995462061"},"language":"en","primary_location":{"id":"mag:3140920413","doi":null,"is_oa":false,"landing_page_url":"http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004632192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Information Fusion","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067994594","display_name":"Rikard Laxhammar","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rikard Laxhammar","raw_affiliation_strings":["Saab Syst., Saab AB, Jarfalla"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saab Syst., Saab AB, Jarfalla","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5067994594"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4257,"has_fulltext":false,"cited_by_count":130,"citation_normalized_percentile":{"value":0.93597288,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.03400000184774399,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.0019000000320374966,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"anomaly detection","score":0.953000009059906},{"id":"https://openalex.org/keywords/vessel-traffic","display_name":"vessel traffic","score":0.7229999899864197},{"id":"https://openalex.org/keywords/unsupervised-clustering","display_name":"unsupervised clustering","score":0.9610000252723694},{"id":"https://openalex.org/keywords/gaussian-mixture-model","display_name":"Gaussian mixture model","score":0.8709999918937683},{"id":"https://openalex.org/keywords/expectation-maximization-clustering","display_name":"expectation-maximization clustering","score":0.7680000066757202},{"id":"https://openalex.org/keywords/shipping-routes","display_name":"shipping routes","score":0.8669999837875366},{"id":"https://openalex.org/keywords/vessel-tracking","display_name":"vessel tracking","score":0.5550000071525574}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7921332716941833},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7282342910766602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6828166842460632},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5958102345466614},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.547360360622406},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5318296551704407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47457149624824524},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.41798821091651917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41595980525016785},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.404131680727005},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.18427956104278564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12898984551429749},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07849174737930298},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"mag:3140920413","doi":null,"is_oa":false,"landing_page_url":"http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004632192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Information Fusion","raw_type":null},{"id":"mag:1995462061","doi":null,"is_oa":false,"landing_page_url":"http://isif.org/fusion/proceedings/fusion08CD/papers/1569106815.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Information Fusion","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W264320815","https://openalex.org/W1919402970","https://openalex.org/W2015972967","https://openalex.org/W2034813969","https://openalex.org/W2056610886","https://openalex.org/W2131987862","https://openalex.org/W2140136927","https://openalex.org/W2157665255","https://openalex.org/W2163231988"],"related_works":["https://openalex.org/W3129762472","https://openalex.org/W4400077433","https://openalex.org/W2165315096","https://openalex.org/W1528465166","https://openalex.org/W4415003304","https://openalex.org/W4407215003","https://openalex.org/W3020022427","https://openalex.org/W1750543517","https://openalex.org/W4229951608","https://openalex.org/W4388076818"],"abstract_inverted_index":{"In":[0,105],"this":[1],"paper,":[2],"unsupervised":[3],"clustering":[4,60],"of":[5,25,53,102,131,147],"normal":[6],"vessel":[7],"traffic":[8,86],"patterns":[9,15],"is":[10,44,57,135,139],"proposed":[11,133],"and":[12,23,49,67,92,97],"implemented,":[13],"where":[14],"are":[16,32,87],"represented":[17],"as":[18,46,59,137],"the":[19,54,79,85,99,129,132],"momentary":[20],"location,":[21],"speed":[22],"course":[24],"tracked":[26],"vessels.":[27],"The":[28,40,62],"learnt":[29],"cluster":[30,47],"models":[31,63],"used":[33,45,58],"for":[34],"anomaly":[35],"detection":[36],"in":[37,84,98],"sea":[38,72,90,103],"traffic.":[39,73],"Gaussian":[41],"Mixture":[42],"Model":[43],"model":[48,124,134],"a":[50,120],"greedy":[51],"version":[52],"Expectation-Maximization":[55],"algorithm":[56],"algorithm.":[61],"have":[64],"been":[65],"trained":[66],"evaluated":[68],"using":[69],"real":[70],"recorded":[71],"A":[74],"qualitative":[75],"analysis":[76],"reveals":[77],"that":[78,116],"most":[80],"distinguishing":[81],"anomalies":[82,110],"found":[83],"vessels":[88,93,113],"crossing":[89],"lanes":[91],"traveling":[94],"close":[95],"to":[96,107,142],"opposite":[100],"direction":[101],"lanes.":[104],"order":[106],"detect":[108],"complex":[109],"involving":[111,145],"multiple":[112],"and/or":[114],"behavior":[115],"develop":[117],"over":[118],"time,":[119],"more":[121],"sophisticated":[122],"pattern":[123],"should":[125],"be":[126],"developed.":[127],"Yet,":[128],"generality":[130],"stressed,":[136],"it":[138],"potentially":[140],"applicable":[141],"other":[143],"domains":[144],"surveillance":[146],"moving":[148],"objects.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":15},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":7}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}